Filtering of dynamic measurements in intelligent sensors for fault detection based on data-driven models. - Edwin Lughofer; Hajrudin Efendic; Luigi del Re; Erich-Peter Klement (CDC, 2003)

Premise parameter estimation and adaptation in fuzzy systems with open-loop clustering methods. - Edwin Lughofer; Erich-Peter Klement (FUZZ-IEEE, 2004)

Improving the interpretability of data-driven evolving fuzzy systems. - Edwin Lughofer; Eyke Hüllermeier; Erich-Peter Klement (EUSFLAT Conf., 2005)

FLEXFIS: A Variant for Incremental Learning of Takagi-Sugeno Fuzzy Systems. - Edwin Lughofer; Erich-Peter Klement (FUZZ-IEEE, 2005)

Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems. - János Botzheim; Edwin Lughofer; Erich-Peter Klement; László T. Kóczy; Tom Gedeon (FUZZ-IEEE, 2006)

Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class. - Edwin Lughofer; Plamen Angelov 001; Xiaowei Zhou 002 (FUZZ-IEEE, 2007)

Architectures for evolving fuzzy rule-based classifiers. - Plamen Angelov 001; Xiaowei Zhou 002; Dimitar P. Filev; Edwin Lughofer (SMC, 2007)

Evolving Vector Quantization for Classification of On-Line Data Streams. - Edwin Lughofer (CIMCA/IAWTIC/ISE, 2008)

On Human-Machine Interaction during Online Image Classifier Training. - Edwin Lughofer; Jim E. Smith; Praminda Caleb-Solly; Muhammad Atif Tahir; Christian Eitzinger; Davy Sannen; Hendrik Van Brussel (CIMCA/IAWTIC/ISE, 2008)

On Preprocessing Multi-channel Sensor Data for Online Process Monitoring. - Holger Schöner; Bernhard Moser 001; Edwin Lughofer (CIMCA/IAWTIC/ISE, 2008)

Improving the robustness of data-driven fuzzy systems with regularization. - Edwin Lughofer; Stefan Kindermann 001 (FUZZ-IEEE, 2008)

Applying evolving fuzzy models with adaptive local error bars to on-line fault detection. - Edwin Lughofer; Carlos Guardiola (GEFS, 2008)

Increasing Classification Robustness with Adaptive Features. - Christian Eitzinger; Manfred Gmainer; Wolfgang Heidl; Edwin Lughofer (ICVS, 2008)

An On-Line Interactive Self-adaptive Image Classification Framework. - Davy Sannen; Marnix Nuttin; Jim E. Smith; Muhammad Atif Tahir; Praminda Caleb-Solly; Edwin Lughofer; Christian Eitzinger (ICVS, 2008)

On-Line Fault Detection with Data-Driven Evolving Fuzzy Models. - Edwin Lughofer; Carlos Guardiola (Control. Intell. Syst., 2008)

Evolving fuzzy classifiers using different model architectures. - Plamen Angelov 001; Edwin Lughofer; Xiaowei Zhou 002 (Fuzzy Sets Syst., 2008)

Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis. - Plamen Angelov 001; Edwin Lughofer (Int. J. Gen. Syst., 2008)

Extensions of vector quantization for incremental clustering. - Edwin Lughofer (Pattern Recognit., 2008)

FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi-Sugeno Fuzzy Models. - Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2008)

Data-Driven and Knowledge-Based Modeling. - Erich-Peter Klement; Edwin Lughofer; Johannes Himmelbauer; Bernhard Moser 001 (Hagenberg Research, 2009)

Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems. - Edwin Lughofer; Plamen Angelov 001 (IFSA/EUSFLAT Conf., 2009)

Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints. - Edwin Lughofer; Stefan Kindermann 001 (IFSA/EUSFLAT Conf., 2009)

Human-Machine Interaction Issues in Quality Control Based on Online Image Classification. - Edwin Lughofer; James Edward Smith; Muhammad Atif Tahir; Praminda Caleb-Solly; Christian Eitzinger; Davy Sannen; Marnix Nuttin (IEEE Trans. Syst. Man Cybern. Part A, 2009)

On Dynamic Selection of the Most Informative Samples in Classification Problems. - Edwin Lughofer (ICMLA, 2010)

On Dynamic Soft Dimension Reduction in Evolving Fuzzy Classifiers. - Edwin Lughofer (IPMU, 2010)

Data-Driven Design of Takagi-Sugeno Fuzzy Systems for Predicting NOx Emissions. - Edwin Lughofer; Vicente Macián; Carlos Guardiola; Erich-Peter Klement (IPMU (2), 2010)

Classifier-based analysis of visual inspection: Gender differences in decision-making. - Wolfgang Heidl; Stefan Thumfart; Christian Eitzinger; Edwin Lughofer; Erich-Peter Klement (SMC, 2010)

Towards incremental classifier fusion. - Davy Sannen; Edwin Lughofer; Hendrik Van Brussel (Intell. Data Anal., 2010)

Associating visual textures with human perceptions using genetic algorithms. - Werner Groissboeck; Edwin Lughofer; Stefan Thumfart (Inf. Sci., 2010)

On-line evolving image classifiers and their application to surface inspection. - Edwin Lughofer (Image Vis. Comput., 2010)

Assessment of the influence of adaptive components in trainable surface inspection systems. - Christian Eitzinger; Wolfgang Heidl; Edwin Lughofer; Stefan Raiser; Jim E. Smith; Muhammad Atif Tahir; Davy Sannen; Hendrik Van Brussel (Mach. Vis. Appl., 2010)

Impact of object extraction methods on classification performance in surface inspection systems. - Stefan Raiser; Edwin Lughofer; Christian Eitzinger; James Edward Smith (Mach. Vis. Appl., 2010)

SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints. - Edwin Lughofer; Stefan Kindermann 001 (IEEE Trans. Fuzzy Syst., 2010)

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications - Edwin Lughofer (Springer, 2011)

All-Pairs Evolving Fuzzy Classifiers for On-line Multi-Class Classification Problems. - Edwin Lughofer (EUSFLAT Conf., 2011)

On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure. - Edwin Lughofer; Eyke Hüllermeier (EUSFLAT Conf., 2011)

On-Line Valuation of Residential Premises with Evolving Fuzzy Models. - Edwin Lughofer; Bogdan Trawinski; Krzysztof Trawinski; Tadeusz Lasota (HAIS (1), 2011)

Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations. - Edwin Lughofer (ICMLA (2), 2011)

Investigation of Evolving Fuzzy Systems Methods FLEXFIS and eTS on Predicting Residential Prices. - Bogdan Trawinski; Krzysztof Trawinski; Edwin Lughofer; Tadeusz Lasota (WILF, 2011)

Handling drifts and shifts in on-line data streams with evolving fuzzy systems. - Edwin Lughofer; Plamen Angelov 001 (Appl. Soft Comput., 2011)

Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems. - Edwin Lughofer; Vicente Macián; Carlos Guardiola; Erich-Peter Klement (Appl. Soft Comput., 2011)

On-line elimination of local redundancies in evolving fuzzy systems. - Edwin Lughofer; Jean-Luc Bouchot; Ammar Shaker (Evol. Syst., 2011)

On-line incremental feature weighting in evolving fuzzy classifiers. - Edwin Lughofer (Fuzzy Sets Syst., 2011)

On employing fuzzy modeling algorithms for the valuation of residential premises. - Edwin Lughofer; Bogdan Trawinski; Krzysztof Trawinski; Olgierd Kempa; Tadeusz Lasota (Inf. Sci., 2011)

Modeling human aesthetic perception of visual textures. - Stefan Thumfart; Richard H. A. H. Jacobs; Edwin Lughofer; Christian Eitzinger; Frans W. Cornelissen; Werner Groissboeck; Roland Richter (ACM Trans. Appl. Percept., 2011)

On-line active learning based on enhanced reliability concepts. - Edwin Lughofer (EAIS, 2012)

Dynamic Quantification of Process Parameters in Viscose Production with Evolving Fuzzy Systems. - Carlos Cernuda; Edwin Lughofer; Lisbeth Suppan; Thomas Röder; Roman Schmuck; Peter Hintenaus; Wolfgang Märzinger; Jürgen Kasberger (IPMU (1), 2012)

A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives. - Alexandru-Ciprian Zavoianu; Gerd Bramerdorfer; Edwin Lughofer; Siegfried Silber; Wolfgang Amrhein; Erich-Peter Klement (SOCO, 2012)

Navigating Interpretability Issues in Evolving Fuzzy Systems. - Edwin Lughofer (SUM, 2012)

A dynamic split-and-merge approach for evolving cluster models. - Edwin Lughofer (Evol. Syst., 2012)

Single-pass active learning with conflict and ignorance. - Edwin Lughofer (Evol. Syst., 2012)

Hybrid active learning for reducing the annotation effort of operators in classification systems. - Edwin Lughofer (Pattern Recognit., 2012)

Detecting broken reciprocating compressor valves in the pV diagram. - Kurt Pichler; Edwin Lughofer; Markus Pichler; Thomas Buchegger; Erich-Peter Klement; Matthias Huschenbett (AIM, 2013)

eVQ-AM: An extended dynamic version of evolving vector quantization. - Edwin Lughofer (EAIS, 2013)

Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system. - Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Edwin Lughofer (EAIS, 2013)

Resolving global and local drifts in data stream regression using evolving rule-based models. - Ammar Shaker; Edwin Lughofer (EAIS, 2013)

Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Wolfgang Amrhein; Erich-Peter Klement (EUROCAST (1), 2013)

Ensembled Self-Adaptive Fuzzy Calibration Models for On-line Cloud Point Prediction. - Carlos Cernuda; Edwin Lughofer; Peter Hintenaus; Wolfgang Märzinger; Thomas Reischer; Marcin Pawlicek; Jürgen Kasberger (EUSFLAT Conf., 2013)

Evolving fuzzy rule-based classifier based on GENEFIS. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (FUZZ-IEEE, 2013)

On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Werner Koppelstätter; Günther Weidenholzer; Wolfgang Amrhein; Erich-Peter Klement (ICAISC (2), 2013)

Generalized Flexible Fuzzy Inference Systems. - Edwin Lughofer; Carlos Cernuda; Mahardhika Pratama (ICMLA (2), 2013)

Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection. - Francisco Serdio; Edwin Lughofer; Thomas Buchegger; Kurt Pichler; Hajrudin Efendic (MIM, 2013)

An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Gerd Bramerdorfer; Wolfgang Amrhein; Erich-Peter Klement (SYNASC, 2013)

Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives. - Alexandru-Ciprian Zavoianu; Gerd Bramerdorfer; Edwin Lughofer; Siegfried Silber; Wolfgang Amrhein; Erich-Peter Klement (Eng. Appl. Artif. Intell., 2013)

Data driven modeling based on dynamic parsimonious fuzzy neural network. - Mahardhika Pratama; Meng Joo Er; Xiang Li 040; Richard Jayadi Oentaryo; Edwin Lughofer; Imam Arifin (Neurocomputing, 2013)

Editorial of the special issue: Online fuzzy machine learning and data mining. - Abdelhamid Bouchachia; Edwin Lughofer; Daniel Sánchez 001 (Inf. Sci., 2013)

Machine learning based analysis of gender differences in visual inspection decision making. - Wolfgang Heidl; Stefan Thumfart; Edwin Lughofer; Christian Eitzinger; Erich-Peter Klement (Inf. Sci., 2013)

On-line assurance of interpretability criteria in evolving fuzzy systems - Achievements, new concepts and open issues. - Edwin Lughofer (Inf. Sci., 2013)

Hybrid and Ensemble Methods in Machine Learning. - Przemyslaw Kazienko; Edwin Lughofer; Bogdan Trawinski (J. Univers. Comput. Sci., 2013)

Smart space technology innovations. - Mu-Yen Chen; Edwin Lughofer (Libr. Hi Tech, 2013)

Reliable All-Pairs Evolving Fuzzy Classifiers. - Edwin Lughofer; Oliver Buchtala (IEEE Trans. Fuzzy Syst., 2013)

A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems. - Mahardhika Pratama; Meng Joo Er; Sreenatha G. Anavatti; Edwin Lughofer; Ning Wang 002; Imam Arifin (FUZZ-IEEE, 2014)

Gradient-based fuzzy fault isolation in residual-based fault detection systems. - Francisco Serdio; Edwin Lughofer; Kurt Pichler; Thomas Buchegger; Markus Pichler; Hajrudin Efendic (FUZZ-IEEE, 2014)

Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Thomas Radauer (ICMLA, 2014)

Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection. - Francisco Serdio; Alexandru-Ciprian Zavoianu; Edwin Lughofer; Kurt Pichler; Thomas Buchegger; Hajrudin Efendic (NaBIC, 2014)

An Incremental Classifier from Data Streams. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (SETN, 2014)

On the robustness of fault detection in reciprocating compressor valves. - Kurt Pichler; Markus Pichler; Thomas Buchegger; Edwin Lughofer; Erich-Peter Klement; Matthias Huschenbett (SMC, 2014)

Reducing false positives for residual-based on-line fault detection by means of filters. - Francisco Serdio; Edwin Lughofer; Kurt Pichler; Thomas Buchegger; Markus Pichler; Hajrudin Efendic (SMC, 2014)

Special Issue: Evolving Soft Computing Techniques and Applications. - Abdelhamid Bouchachia; Edwin Lughofer; Moamar Sayed-Mouchaweh (Appl. Soft Comput., 2014)

Recent advances on evolving intelligent systems and applications. - Fernando A. C. Gomide; Edwin Lughofer (Evol. Syst., 2014)

Self-adaptive and local strategies for a smooth treatment of drifts in data streams. - Ammar Shaker; Edwin Lughofer (Evol. Syst., 2014)

Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations. - Francisco Serdio; Edwin Lughofer; Kurt Pichler; Thomas Buchegger; Markus Pichler; Hajrudin Efendic (Inf. Fusion, 2014)

Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills. - Francisco Serdio; Edwin Lughofer; Kurt Pichler; Thomas Buchegger; Hajrudin Efendic (Inf. Sci., 2014)

GENEFIS: Toward an Effective Localist Network. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2014)

PANFIS: A Novel Incremental Learning Machine. - Mahardhika Pratama; Sreenatha G. Anavatti; Plamen P. Angelov; Edwin Lughofer (IEEE Trans. Neural Networks Learn. Syst., 2014)

Drift detection in data stream classification without fully labelled instances. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (EAIS, 2015)

Preface. - Moamar Sayed-Mouchaweh; Anthony Fleury; Plamen Angelov 001; Edwin Lughofer; José Antonio Iglesias 001 (EAIS, 2015)

Efficient sample selection in data stream regression employing evolving generalized fuzzy models. - Edwin Lughofer (FUZZ-IEEE, 2015)

Fast and economic integration of new classes on the fly in evolving fuzzy classifiers using class decomposition. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (FUZZ-IEEE, 2015)

Evolving Fuzzy Systems - Fundamentals, Reliability, Interpretability, Useability and Applications. - Edwin Lughofer (IJCCI (ECTA), 2015)

Affective Property Computation of Visual Texture. - Jianli Liu; Edwin Lughofer; Xianyi Zeng; Lei Wang (ISKE, 2015)

A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Gerd Bramerdorfer; Wolfgang Amrhein; Susanne Saminger-Platz (SYNASC, 2015)

Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (Appl. Soft Comput., 2015)

Generalized smart evolving fuzzy systems. - Edwin Lughofer; Carlos Cernuda; Stefan Kindermann 001; Mahardhika Pratama (Evol. Syst., 2015)

Adaptive and on-line learning in non-stationary environments. - Edwin Lughofer; Moamar Sayed-Mouchaweh (Evol. Syst., 2015)

Aesthetic perception of visual textures: a holistic exploration using texture analysis, psychological experiment, and perception modeling. - Jianli Liu; Edwin Lughofer; Xianyi Zeng (Frontiers Comput. Neurosci., 2015)

Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems. - Moamar Sayed-Mouchaweh; Edwin Lughofer (Int. J. Control, 2015)

Could linear model bridge the gap between low-level statistical features and aesthetic emotions of visual textures? - Jianli Liu; Edwin Lughofer; Xianyi Zeng (Neurocomputing, 2015)

Information fusion in smart living technology innovations. - Mu-Yen Chen; Edwin Lughofer; Ken Sakamura (Inf. Fusion, 2015)

Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach. - Edwin Lughofer; Moamar Sayed-Mouchaweh (Inf. Sci., 2015)

Fuzzy fault isolation using gradient information and quality criteria from system identification models. - Francisco Serdio; Edwin Lughofer; Kurt Pichler; Markus Pichler; Thomas Buchegger; Hajrudin Efendic (Inf. Sci., 2015)

Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Werner Koppelstätter; Günther Weidenholzer; Wolfgang Amrhein; Erich-Peter Klement (Knowl. Based Syst., 2015)

Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram. - Kurt Pichler; Edwin Lughofer; Markus Pichler; Thomas Buchegger; Erich-Peter Klement; Matthias Huschenbett (Pattern Anal. Appl., 2015)

Editorial on the special issue "Hybrid and ensemble techniques in soft computing: recent advances and emerging trends". - Przemyslaw Kazienko; Edwin Lughofer; Bogdan Trawinski (Soft Comput., 2015)

DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Gerd Bramerdorfer; Wolfgang Amrhein; Erich-Peter Klement (Soft Comput., 2015)

pClass: An Effective Classifier for Streaming Examples. - Mahardhika Pratama; Sreenatha G. Anavatti; Meng Joo Er; Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2015)

Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. - Edwin Lughofer; Gabriel Kronberger; Michael Kommenda; Susanne Saminger-Platz; Andreas Promberger; Falk Nickel; Stephan M. Winkler; Michael Affenzeller (IJCCI (FCTA), 2016)

Evolving type-2 recurrent fuzzy neural network. - Mahardhika Pratama; Edwin Lughofer; Meng Joo Er; J. Wenny Rahayu; Tharam S. Dillon (IJCNN, 2016)

MapView: Graphical Data Representation for Active Learning. - Eva Weigl; Alexander Walch; Ulrich Neissl; Pauline Meyer-Heye; Thomas Radauer; Edwin Lughofer; Wolfgang Heidl; Christian Eitzinger (AL@iKNOW, 2016)

Advanced linguistic explanations of classifier decisions for users' annotation support. - Edwin Lughofer; Roland Richter; Ulrich Neissl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (IEEE Conf. on Intelligent Systems, 2016)

An incremental meta-cognitive-based scaffolding fuzzy neural network. - Mahardhika Pratama; Jie Lu 001; Sreenatha G. Anavatti; Edwin Lughofer; Chee Peng Lim (Neurocomputing, 2016)

Scaffolding type-2 classifier for incremental learning under concept drifts. - Mahardhika Pratama; Jie Lu 001; Edwin Lughofer; Guangquan Zhang 001; Sreenatha G. Anavatti (Neurocomputing, 2016)

Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (Inf. Sci., 2016)

On improving performance of surface inspection systems by online active learning and flexible classifier updates. - Eva Weigl; Wolfgang Heidl; Edwin Lughofer; Thomas Radauer; Christian Eitzinger (Mach. Vis. Appl., 2016)

Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production. - Edwin Lughofer; Robert Pollak; Alexandru-Ciprian Zavoianu; Pauline Meyer-Heye; Helmut Zörrer; Christian Eitzinger; Julia Haim; Thomas Radauer (CYBCONF, 2017)

Incremental rule splitting in generalized evolving fuzzy regression models. - Edwin Lughofer; Mahardhika Pratama; Igor Skrjanc (EAIS, 2017)

Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings. - Alexandru-Ciprian Zavoianu; Gerd Bramerdorfer; Edwin Lughofer; Susanne Saminger-Platz (EUROCAST (1), 2017)

Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. - Werner Zellinger; Thomas Grubinger; Edwin Lughofer; Thomas Natschläger; Susanne Saminger-Platz (ICLR (Poster), 2017)

A randomized neural network for data streams. - Mahardhika Pratama; Plamen P. Angelov; Jie Lu 001; Edwin Lughofer; Manjeevan Seera; Chee Peng Lim (IJCNN, 2017)

Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Robert Pollak; Pauline Meyer-Heye; Christian Eitzinger; Thomas Radauer (SSCI, 2017)

Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters. - Francisco Serdio; Edwin Lughofer; Alexandru-Ciprian Zavoianu; Kurt Pichler; Markus Pichler; Thomas Buchegger; Hajrudin Efendic (Appl. Soft Comput., 2017)

Evolving type-2 web news mining. - Choiru Za'in; Mahardhika Pratama; Edwin Lughofer; Sreenatha G. Anavatti (Appl. Soft Comput., 2017)

Toward Model Building for Visual Aesthetic Perception. - Jianli Liu; Edwin Lughofer; Xianyi Zeng (Comput. Intell. Neurosci., 2017)

Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments. - Anthony Fleury; Edwin Lughofer; Moamar Sayed-Mouchaweh (Evol. Syst., 2017)

Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage. - Edwin Lughofer; Stefan Kindermann 001; Mahardhika Pratama; José de Jesús Rubio (Int. J. Fuzzy Syst., 2017)

pClass+: A Novel Evolving Semi-Supervised Classifier. - Mahardhika Pratama; Edwin Lughofer; Chee Peng Lim; Wenny Rahayu; Tharam S. Dillon; Agus Budiyono (Int. J. Fuzzy Syst., 2017)

Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. - Mahardhika Pratama; Edwin Lughofer; Meng Joo Er; Sreenatha G. Anavatti; Chee Peng Lim (Neurocomputing, 2017)

Online real-time learning strategies for data streams for Neurocomputing. - Mahardhika Pratama; Edwin Lughofer; Dianhui Wang 001 (Neurocomputing, 2017)

Modeling and control with neural networks for a magnetic levitation system. - José de Jesús Rubio; Lixian Zhang; Edwin Lughofer; Panuncio Cruz; Ahmed Alsaedi; Tasawar Hayat (Neurocomputing, 2017)

On-line active learning: A new paradigm to improve practical useability of data stream modeling methods. - Edwin Lughofer (Inf. Sci., 2017)

Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior. - Edwin Lughofer; Roland Richter; Ulrich Neissl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (Inf. Sci., 2017)

Human behavior analysis for library and information science. - Mu-Yen Chen; Edwin Lughofer; Neil Y. Yen; Chia-Chen Chen (Libr. Hi Tech, 2017)

An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. - Mahardhika Pratama; Jie Lu 001; Edwin Lughofer; Guangquan Zhang 001; Meng Joo Er (IEEE Trans. Fuzzy Syst., 2017)

Evolving time-series based prediction models for quality criteria in a multi-stage production process. - Edwin Lughofer; Robert Pollak; Pauline Meyer-Heye; Helmut Zörrer; Christian Eitzinger; Jasmin Lehner; Thomas Radauer; Mahardhika Pratama (EAIS, 2018)

Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm. - Alexandru-Ciprian Zavoianu; Susanne Saminger-Platz; Edwin Lughofer; Wolfgang Amrhein (GECCO, 2018)

Big Data Analytics based on PANFIS MapReduce. - Choiru Za'in; Mahardhika Pratama; Edwin Lughofer; Md Meftahul Ferdaus; Qing Cai; Mukesh Prasad (INNS Conference on Big Data, 2018)

Self-adaptive forecast models in predictive maintenance systems. - Edwin Lughofer (SYNASC, 2018)

Data stream mining and soft computing applications. - Mu-Yen Chen; Edwin Lughofer (Appl. Soft Comput., 2018)

Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. - Gabriel Kronberger; Michael Kommenda; Edwin Lughofer; Susanne Saminger-Platz; Andreas Promberger; Falk Nickel; Stephan M. Winkler; Michael Affenzeller (Appl. Soft Comput., 2018)

Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. - Mahardhika Pratama; Edwin Lughofer; Suresh Sundaram 002; Moamar Sayed-Mouchaweh; Igor Skrjanc; Fahed Mostafa (Appl. Soft Comput., 2018)

The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions. - Jianli Liu; Edwin Lughofer; Xianyi Zeng; Zhengxin Li (Comput. Intell. Neurosci., 2018)

An Online RFID Localization in the Manufacturing Shopfloor. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Qing Cai; Sheng Huang 006 (CoRR, 2018)

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. - Mahardhika Pratama; Andri Ashfahani; Yew-Soon Ong; Savitha Ramasamy; Edwin Lughofer (CoRR, 2018)

Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality. - Edwin Lughofer; Robert Pollak; Alexandru-Ciprian Zavoianu; Mahardhika Pratama; Pauline Meyer-Heye; Helmut Zörrer; Christian Eitzinger; Julia Haim; Thomas Radauer (Eng. Appl. Artif. Intell., 2018)

Parsimonious random vector functional link network for data streams. - Mahardhika Pratama; Plamen P. Angelov; Edwin Lughofer; Meng Joo Er (Inf. Sci., 2018)

Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models. - José de Jesús Rubio; Edwin Lughofer; Jesús A. Meda-Campaña; Luis A. Páramo-Carranza; Juan Francisco Novoa; Jaime Pacheco 001 (J. Intell. Fuzzy Syst., 2018)

A novel algorithm for the modeling of complex processes. - José de Jesús Rubio; Edwin Lughofer; Plamen Angelov 001; Juan Francisco Novoa; Jesús A. Meda-Campaña (Kybernetika, 2018)

Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models. - Edwin Lughofer; Mahardhika Pratama (IEEE Trans. Fuzzy Syst., 2018)

Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation. - Edwin Lughofer; Mahardhika Pratama; Igor Skrjanc (IEEE Trans. Fuzzy Syst., 2018)

Evolving Ensemble Fuzzy Classifier. - Mahardhika Pratama; Witold Pedrycz; Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2018)

Model Explanation and Interpretation Concepts for Stimulating Advanced Human-Machine Interaction with "Expert-in-the-Loop". - Edwin Lughofer (Human and Machine Learning, 2018)

ATL: Autonomous Knowledge Transfer from Many Streaming Processes. - Mahardhika Pratama; Marcus de Carvalho; Renchunzi Xie; Edwin Lughofer; Jie Lu 001 (CIKM, 2019)

Virtual Quality control using bidirectional LSTM networks and gradient boosting. - Amirreza Baghbanpourasl; Edwin Lughofer; Pauline Meyer-Heye; Helmut Zörrer; Christian Eitzinger (INDIN, 2019)

Approximation of incoherent probabilities. - Thomas Weiler; Edwin Lughofer (Int. J. Approx. Reason., 2019)

Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams. - Igor Skrjanc; Saso Blazic; Edwin Lughofer; Dejan Dovzan (Inf. Sci., 2019)

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. - Igor Skrjanc; José Antonio Iglesias 001; Araceli Sanchis; Daniel F. Leite; Edwin Lughofer; Fernando A. C. Gomide (Inf. Sci., 2019)

Robust unsupervised domain adaptation for neural networks via moment alignment. - Werner Zellinger; Bernhard Alois Moser; Thomas Grubinger; Edwin Lughofer; Thomas Natschläger; Susanne Saminger-Platz (Inf. Sci., 2019)

Metacognitive learning approach for online tool condition monitoring. - Mahardhika Pratama; Eric Dimla; Chow Yin Lai; Edwin Lughofer (J. Intell. Manuf., 2019)

Variants of Recursive Consequent Parameters Learning in Evolving Neuro-Fuzzy Systems. - Edwin Lughofer (EAIS, 2020)

Online Sequential Ensembling of Fuzzy Systems. - Edwin Lughofer; Mahardhika Pratama (EAIS, 2020)

Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. - Choiru Za'in; Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Eric Pardede (EAIS, 2020)

Knowledge extraction about patients surviving breast cancer treatment through an autonomous fuzzy neural network. - Paulo Vitor de Campos Souza; Yu-Kai Wang; Edwin Lughofer (FUZZ-IEEE, 2020)

Hybrid Model for Parkinson's Disease Prediction. - Augusto Junio Guimarães; Paulo Vitor de Campos Souza; Edwin Lughofer (IPMU (2), 2020)

Detection of driver maneuvers using evolving fuzzy cloud-based system. - Goran Andonovski; Oscar Sipele; José Antonio Iglesias 001; Araceli Sanchis; Edwin Lughofer; Igor Skrjanc (SSCI, 2020)

DEVDAN: Deep evolving denoising autoencoder. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Yew-Soon Ong (Neurocomputing, 2020)

Fast learning of neural networks with application to big data processes. - José de Jesús Rubio; Yongping Pan 001; Edwin Lughofer; Mu-Yen Chen; Jianbin Qiu (Neurocomputing, 2020)

PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Edwin Lughofer (Inf. Sci., 2020)

On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks. - Edwin Lughofer; Alexandru-Ciprian Zavoianu; Robert Pollak; Mahardhika Pratama; Pauline Meyer-Heye; Helmut Zörrer; Christian Eitzinger; Thomas Radauer (Inf. Sci., 2020)

Multi-source transfer learning of time series in cyclical manufacturing. - Werner Zellinger; Thomas Grubinger; Michael Zwick; Edwin Lughofer; Holger Schöner; Thomas Natschläger; Susanne Saminger-Platz (J. Intell. Manuf., 2020)

Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds. - Paulo Vitor de Campos Souza; Hiram Ponce; Edwin Lughofer (Knowl. Based Syst., 2020)

Informetrics on social network mining: research, policy and practice challenges. - Mu-Yen Chen; Chien Hsiang Liao; Edwin Lughofer; Erol Egrioglu (Libr. Hi Tech, 2020)

Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network. - Paulo Vitor de Campos Souza; Edwin Lughofer (Sensors, 2020)

Deep learning: emerging trends, applications and research challenges. - Mu-Yen Chen; Hsiu-Sen Chiang; Edwin Lughofer; Erol Egrioglu (Soft Comput., 2020)

Online Tool Condition Monitoring Based on Parsimonious Ensemble+. - Mahardhika Pratama; Eric Dimla; Tegoeh Tjahjowidodo; Witold Pedrycz; Edwin Lughofer (IEEE Trans. Cybern., 2020)

Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS. - Edwin Lughofer; Ramin Nikzad-Langerodi (IEEE Trans. Fuzzy Syst., 2020)

Evolving Fuzzy Neural Network Based on Uni-nullneuron to Identify Auction Fraud. - Paulo Vitor de Campos Souza; Edwin Lughofer; Augusto Junio Guimarães (IFSA/EUSFLAT/AGOP, 2021)

Regularized neuro-fuzzy AI model to aid score management in Online distance learning forums. - Paulo Vitor de Campos Souza; Edwin Lughofer; Augusto Junio Guimarães (FUZZ-IEEE, 2021)

Autonomous Deep Quality Monitoring in Streaming Environments. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Edward Kien Yee Yapp (IJCNN, 2021)

Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. - Mahardhika Pratama; Andri Ashfahani; Edwin Lughofer (CSSL, 2021)

Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes. - Goran Andonovski; Edwin Lughofer; Igor Skrjanc (IEEE Access, 2021)

An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons. - Paulo Vitor de Campos Souza; Edwin Lughofer; Augusto Junio Guimarães (Appl. Soft Comput., 2021)

A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Robert Pollak; Christian Eitzinger; Thomas Radauer (Appl. Soft Comput., 2021)

Cloud & fog computing: intelligent applications. - Mu-Yen Chen; Edwin David Lughofer; Erol Egrioglu (Enterp. Inf. Syst., 2021)

An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities. - Paulo Vitor de Campos Souza; Edwin Lughofer (Neurocomputing, 2021)

Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems. - Edwin Lughofer (Inf. Sci., 2021)

Online bagging of evolving fuzzy systems. - Edwin Lughofer; Mahardhika Pratama; Igor Skrjanc (Inf. Sci., 2021)

Scalable teacher forcing network for semi-supervised large scale data streams. - Mahardhika Pratama; Choiru Za'in; Edwin Lughofer; Eric Pardede; Dwi A. P. Rahayu (Inf. Sci., 2021)

Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process. - José de Jesús Rubio; Edwin Lughofer; Jeff Pieper; Panuncio Cruz; Dany Ivan Martinez; Genaro Ochoa; Marco Antonio Islas; Enrique García (Inf. Sci., 2021)

Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. - Anil Verma 001; Aman Singh; Edwin Lughofer; Xiaochun Cheng; Khalid Abualsaud (J. Comput. High. Educ., 2021)

Correction to: Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. - Anil Verma 001; Aman Singh; Edwin Lughofer; Xiaochun Cheng; Khalid Abualsaud (J. Comput. High. Educ., 2021)

New aggregation operators on group-based generalized intuitionistic fuzzy soft sets. - Khizar Hayat 001; Zalishta Tariq; Edwin Lughofer; M. Fahim Aslam (Soft Comput., 2021)

An intelligent Bayesian hybrid approach to help autism diagnosis. - Paulo Vitor de Campos Souza; Augusto Junio Guimarães; Vanessa Souza Araujo; Edwin Lughofer (Soft Comput., 2021)

EFNN-Gen - a uni-nullneuron-based evolving fuzzy neural network with generalist rules. - Paulo Vitor de Campos Souza; Edwin Lughofer (EAIS, 2022)

An interpretable uni-nullneuron-based evolving neuro-fuzzy network acting to identify Dry Beans. - Paulo Vitor de Campos Souza; Edwin Lughofer (FUZZ-IEEE, 2022)

Evolving fuzzy neural network based on null-unineurons for the identification of coronary artery disease. - Augusto Junio Guimarães; Paulo Vitor de Campos Souza; Huoston Rodrigues Batista; Edwin Lughofer (SMC, 2022)

An Explainable Evolving Fuzzy Neural Network in Position Identification of Basketball Players. - Paulo Vitor de Campos Souza; Edwin Lughofer (OLUD@WCCI, 2022)

Transfer learning of fuzzy classifiers for optimized joint representation of simulated and measured data in anomaly detection of motor phase currents. - Edwin Lughofer; Patrick Zorn; Edmund Marth (Appl. Soft Comput., 2022)

Deep learning and intelligent system towards smart manufacturing. - Mu-Yen Chen; Edwin David Lughofer; Erol Egrioglu (Enterp. Inf. Syst., 2022)

Online sequential ensembling of predictive fuzzy systems. - Edwin Lughofer; Mahardhika Pratama (Evol. Syst., 2022)

An advanced interpretable Fuzzy Neural Network model based on uni-nullneuron constructed from n-uninorms. - Paulo Vitor de Campos Souza; Edwin Lughofer (Fuzzy Sets Syst., 2022)

EFNN-NullUni: An evolving fuzzy neural network based on null-uninorm. - Paulo Vitor de Campos Souza; Edwin Lughofer (Fuzzy Sets Syst., 2022)

Online active learning for an evolving fuzzy neural classifier based on data density and specificity. - Paulo Vitor de Campos Souza; Edwin Lughofer (Neurocomputing, 2022)

Evolving multi-user fuzzy classifier systems integrating human uncertainty and expert knowledge. - Edwin Lughofer (Inf. Sci., 2022)

Evolving multi-label fuzzy classifier. - Edwin Lughofer (Inf. Sci., 2022)

Editorial: Special issue on recent progress in autonomous machine learning. - Mahardhika Pratama; Edwin Lughofer; Plamen P. Angelov (Inf. Sci., 2022)

Evolving multi-label fuzzy classifier with advanced robustness respecting human uncertainty. - Edwin Lughofer (Knowl. Based Syst., 2022)

Editorial. - Mu-Yen Chen; Chien Hsiang Liao; Edwin David Lughofer; Erol Egrioglu (Libr. Hi Tech, 2022)

An Explainable Evolving Fuzzy Neural Network to Predict the k Barriers for Intrusion Detection Using a Wireless Sensor Network. - Paulo Vitor de Campos Souza; Edwin Lughofer; Huoston Rodrigues Batista (Sensors, 2022)

Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. - Edwin Lughofer; Mahardhika Pratama (Inf. Fusion, 2023)

New group-based generalized interval-valued q-rung orthopair fuzzy soft aggregation operators and their applications in sports decision-making problems. - Khizar Hayat 001; Muhammad Saeed Raja; Edwin Lughofer; Naveed Yaqoob (Comput. Appl. Math., 2023)

Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise. - Edwin Lughofer; Igor Skrjanc (IEEE Trans. Fuzzy Syst., 2023)

Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback. - Paulo Vitor de Campos Souza; Edwin Lughofer (Evol. Syst., 2023)

Evolving Neuro-Fuzzy Systems-Based Design of Experiments in Process Identification. - Miha Ozbot; Edwin Lughofer; Igor Skrjanc (IEEE Trans. Fuzzy Syst., 2023)

EFNC-Exp: An evolving fuzzy neural classifier integrating expert rules and uncertainty. - Paulo Vitor de Campos Souza; Edwin Lughofer (Fuzzy Sets Syst., 2023)

Assessor-guided learning for continual environments. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Edwin Lughofer; Weiping Ding 001; Wisnu Jatmiko (Inf. Sci., 2023)

Data-driven prediction of possible quality deterioration in injection molding processes. - Edwin Lughofer; Kurt Pichler (Appl. Soft Comput., 2024)

Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction. - Edwin Lughofer; Igor Skrjanc (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Online Active Learning for Evolving Error Feedback Fuzzy Models Within a Multi-Innovation Context. - Edwin Lughofer; Igor Skrjanc (IEEE Trans. Fuzzy Syst., 2024)

Few-Shot Continual Learning via Flat-to-Wide Approaches. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Edwin Lughofer; Lin Liu 003; Habibullah; Ryszard Kowalczyk (IEEE Trans. Neural Networks Learn. Syst., 2025)